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Chiller health monitoring for reliable cooling
SV500 collects power data from chiller equipment and diagnoses it with AI algorithms, covering the compressor, pumps, fans and the drives behind them.
What edgeSV monitors
Compressor and refrigeration motorRotating components, load characteristics and operating conditions
Cooling water pump and cooling fanOperating condition, bearing abnormalities, shaft alignment
Power and control panels, VFDMain supply power quality, VFD condition, energy management
How it works here
- CTs and voltage taps at the feeder
- Baseline learned per asset
- Graded alerts with indicators
- Results to web UI, server or SCADA
Typical challenges
- Compressor degradation
- Motor overload
- Pump and fan abnormalities
- Rising energy consumption
- Unexpected cooling interruption
Detectable conditions
- Bearing defects
- Shaft misalignment
- Rotor and stator faults
- VFD DC link and switching stage
- Supply imbalance and harmonics
Expected benefits
- Cooling continuity in data centers and plants
- Compressor overhaul timed by condition
- Energy visibility for the chiller plant
Prove it on one asset first
A pilot starts with one critical asset, establishes its baseline and reviews edgeSV diagnostic results with your team.